Teaching Resources

Australian Resources

What is
Statistics?.
Lively case studies from science, finance and sport introducing visitors to statistical thinking. University of
Melbourne.

Chance and Data in the News.
Articles illustrating statistical principles from the Tasmanian metropolitan daily
newspaper, The Mercury, with discussions by Jane Watson of the University of Tasmania. A
joint project of The Mercury, the University of Tasmania, and the Australian Association
of Mathematics Teachers.

Surfstat Australia.
An online text in introductory statistics. Keith Dear,
Australian National University.

Online Tutorials or Textbooks

Electronic Statistics
Textbook. An online textbook, with brief comments on a wide range of topics from basic
to advanced, including variance components, neural networks, multidimensional scaling and
so on. The emphasis is on techniques rather than concepts or mathematics. StatSoft Inc.

HyperStat Online. A
substantial introductory-level statistics book including power, factorial ANOVA, between
and within-subjects ANOVA, chi-square and distribution-free tests. David Lane, Rice
University.

Statistical Associates E-Books.
The Statistical Associates "Blue Book" series on statistical and research methodology topics.
Some e-books are free for download, others must be purchased through Amazon.

Statistics Every Writer Should Know. A
series of very user friendly beginning tutorials on statistics, suitable for school
students as well as non-mathematics undergraduates. Robert Niles.

Stat Trek. An online tutorial on
probability, hypothesis testing and survey sampling, as well as some online
probability calculators.

StatLect.
A collection of lectures on probability theory and mathematical statistics.

Interactive Demonstrations

Probability by
Surprise. Teaching by paradox. Graphics and animations for developed for
teaching introductory probability. Susan Holmes, Stanford University.

Virtual Laboratories in Statistics. A
National Science Foundation funded project to develop interactive modules for introductory
statistics. Kyle Siegrist, University of Alabama, Huntsville.

Video Series/CDs

Against All Odds: Detailed Timings. Timings of the
vignettes in each video of the Against All Odds series. Essential for integrating the
videos into a lecture series. Gordon Smyth, Walter and Eliza Hall Institute of Medical Research.

Berrie's Statistics Page. Illustrates some
probability and statistics concepts, such as the Poisson distribution and the Central
Limit Theorem, using short videos. Netherlands.

Chance Database.
This data base contains materials designed help teach a Chance course or a more standard
introductory probability or statistics course. The aim of a Chance course is make students
more informed and critical readers of current news involving statistical issues as it
appears in newspapers, journals and magazines. Laurie Snell, Dartmouth College.

SMART: Statistics and
Mathematics as Advanced Research Tools. A series of integrated modules (an
`explorapaedia') for training scientists and research students in the biosciences in
statistical techniques. A collaborative project coordinated by Mike Talbot, University of
Edinburgh. Includes an extensive directory of other statistics education projects on the
Web.

Statistical Instruction Internet Palette.
A palette of resources for statistics students and instructors, including a data gallery,
a data web, computing and graphing studios and an annotated formula gallery. John Behrens,
Arizona State University.

Statistics
Education Bibliography. A large, partially annotated, list of references on teaching
statistics compiled by Sashi Sharma and Andy Begg, University of Waikato, New Zealand.
Online at the University of Perugia.

STATS: Statistical Thinking with Active Teaching
Strategies. Development workshops conducted by the Mathematical Association of America
for mathematicians who teach courses in introductory statistics. The goal is to teach
statistical thinking with more data and concepts, less theory and fewer recipes. Project
reports and data sets are available from workshops held at:

Teaching and Learning Technology Programme.
A UK wide program aiming to make teaching and learning more productive and efficient by
harnessing modern technology. This link is to the central server at Heriot-Watt
University. The program funds two statistics projects:

STEPS. Statistical education
through problem solving. University of Glasgow.